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Updated: Jan 21, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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在山地变电站填充的土岩混合物中,基于机器学习的剪切强度因子的评估

Xionghui Huang1, Jin Liao2, Hong Ke3

  • 1China Southern Power Grid Ehv Power Transmission Company, Guangzhou, 510275, China.

Scientific reports
|January 19, 2026
PubMed
概括

这项研究使用前神经网络 (FNN) 来分析土壤岩石混合物 (SRM) 的剪切强度. 湿度和塑料限制被发现是最有影响力的因素.

关键词:
影响因素影响因素.机器学习 机器学习山地变电站是山地变电站.剪切强度的剪切强度.土壤岩石混合物 土壤岩石混合物

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